Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices—A Systematic Review

Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices—A Systematic Review

Locomotion assistive devices equipped with a microprocessor can potentially automatically adapt their behavior when the user is transitioning from one locomotion mode to another. Many developments in the field have come from machine learning driven controllers on locomotion assistive devices that re...

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Bibliographic Details
Main Authors: Floriant Labarrière, Elizabeth Thomas, Laurine Calistri, Virgil Optasanu, Mathieu Gueugnon, Paul Ornetti, Davy Laroche
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
machine learning
locomotion
assistive devices
embedded sensors
Online Access:https://www.mdpi.com/1424-8220/20/21/6345

Internet

https://www.mdpi.com/1424-8220/20/21/6345

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